The effect of physical activity on cytokine levels in adults living with type 1 diabetes-a preliminary study.

The aim of this study is to investigate whether physical activity and the level of body fat are factors reducing the level of pro-inflammatory cytokines in people with T1DM. Twenty-five men (27.8 ± 9.4 years old; 178.9 ± 6.9 cm; 80.6 ± 12 kg) and 18 women (28.1 ± 12.5 years old; 162.4 ± 5.5; 63.1 ± 9.9 kg) were divided into four groups based on body fat percentage and level of physical activity (AN-active people with normal body fat; IAN-inactive people with normal body fat; AO-active people with excessive body fat, IAO-inactive people with excessive body fat). The level of cytokines in the blood serum was assessed. The level of IL-8 was higher (measurable) in inactive men, regardless of adiposity degree and in women, only in the inactive group with normal body fat. IL-6 was found only in active men with excessive adiposity. In conclusion, the findings from this study allow to indicate that moderate level of physical activity may contribute to a reduction in the development of systemic low-grade inflammation in patients with T1DM, and thus, may reduce the risk of CVD.

A decision algorithm to identify patients with high probability of monogenic diabetes due to HNF1A mutations.

PURPOSE: To investigate the utility of biomarkers of maturity-onset diabetes of the young (MODY), high-sensitivity C-reactive protein (hsCRP), and 1,5-anhydroglucitol (1,5-AG) in conjunction with other clinical and laboratory features to improve diagnostic accuracy and provide a diagnostic algorithm for HNF1A MODY. METHODS: We examined 77 patients with HNF1A MODY, 88 with GCK MODY mutations, 99 with type 1 diabetes, and 92 with type 2 diabetes. In addition to 1,5-AG and hsCRP, we considered body mass index (BMI), fasting glucose, and fasting serum C-peptide as potential biomarkers. Logistic regression and receiver operating characteristic curves were used in marker evaluation. RESULTS: Concentration of hsCRP was lowest in HNF1A MODY (0.51 mg/l) and highest in type 2 diabetes (1.33 mg/l). The level of 1,5-AG was lowest in type 1 diabetes and HNF1A MODY, 3.8 and 4.7 µg/ml, respectively, and highest (11.2 µg/ml) in GCK MODY. In the diagnostic algorithm, we first excluded patients with type 1 diabetes based on low C-peptide (C-statistic 0.98) before using high BMI and C-peptide to identify type 2 diabetes patients (C-statistic 0.92). Finally, 1,5-AG and hsCRP in conjunction yielded a C-statistic of 0.86 in discriminating HNF1A from GCK MODY. We correctly classified 92.9% of patients with type 1 diabetes, 84.8% with type 2 diabetes, 64.9% HNF1A MODY, and 52.3% GCK MODY patients. CONCLUSIONS: Plasma 1,5-AG and serum hsCRP do not discriminate sufficiently HNF1A MODY from common diabetes types, but could be potentially useful in prioritizing Sanger sequencing of HNF1A gene.

Quality of life assessment in patients with HNF1A-MODY and GCK-MODY.

AIM: The impact of maturity onset diabetes of the young (MODY) on quality of life (QoL) has never been examined. We assessed disease impact on QoL among patients with HNF1A-MODY and GCK mutation carrier status. METHODS: The study included 80 patients with HNF1A-MODY and 89 GCK gene mutation carriers. We also examined 128 type 1 diabetes (T1DM) patients for comparison. Diabetes-specific QoL was assessed using the Audit of Diabetes Dependent Quality of Life questionnaire. RESULTS: HNF1A-MODY and GCK-MODY groups had similar mean age (41.7 vs. 38.0 years, respectively) and BMI (24.1 vs. 24.3 kg/m2), whereas T1DM patients were on average younger (34.2 years) with similar BMI (25.0 kg/m2). Less than a third of GCK mutation carriers were on pharmacotherapy (n = 20, 31%), while the majority of HNF1A mutation carriers used oral drugs or insulin (n = 66, 82.5%). While current QoL was similar across the three groups (p = 0.66), two other major indices-the impact of diabetes on QoL and the average weighted impact (AWI)-differed among them (p < 0.001 for both comparisons). The impact of diabetes on patient QoL and AWI observed in both MODY groups was smaller than in T1DM. Etiological diagnosis of diabetes and a diagnosis of retinopathy were the only independent factors influencing the impact of diabetes on QoL and AWI in regression analysis. In HNF1A-MODY, all three major indices of QoL were more heavily influenced for patients on insulin in comparison to other treatment sub-groups. CONCLUSION: MODY has a smaller negative impact on QoL compared to T1DM. Mode of treatment further stratifies QoL decline for HNF1A-MODY subjects.